# Chapter 6 Adequacy of Linear Regression Model: Coefficient of Determination

Description:  This simulation depicts how the sum of the squared differences reduces as the two variables are correlated, and hence giving a lower value for the sum of the squares of the residuals.

Keywords:  regression, linear regression, sum of squared differences, sum of square of residuals, correlation coefficient, coefficient of determination.

Learning Objectives:  After successful completion of running the simulation with proper questions asked by the instructor, the student would be able to 1) note geometrically what the squared differences mean 2) note geometrically what the sum of the squared residuals mean 3) how the two sums are related to the coefficient of determination and correlation coefficient.

Full Resources:  The full resources for the topic of the nonlinear regression models are given here which include textbook content, a PowerPoint presentation, a multiple-choice test, audiovisual lectures, and application examples.